Adaptive Non-communication Protection for Transmission Lines  Based on Artificial Neural Network

XU Qi-ying; CHEN Shao-hua; LI Ri-long

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Adaptive Non-communication Protection for Transmission Lines Based on Artificial Neural Network

更新时间：2025-11-18

- Adaptive Non-communication Protection for Transmission Lines Based on Artificial Neural Network
- Issue 1, Pages: 16-18+21(2004)
- 作者机构：
  
  1. 广东工业大学自动化学院
  2. 广东工业大学自动化学院广东广州510090
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM773
- Published：2004
- 稿件说明：
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[1]徐其迎,陈少华,李日隆.基于神经网络的输电线路自适应无通道保护[J].湖南电力,2004(01):16-18+21.

XU Qi-ying, CHEN Shao-hua, LI Ri-long. Adaptive Non-communication Protection for Transmission Lines Based on Artificial Neural Network[J]. 2004, (1): 16-18+21.
[1]徐其迎,陈少华,李日隆.基于神经网络的输电线路自适应无通道保护[J].湖南电力,2004(01):16-18+21. DOI：

XU Qi-ying, CHEN Shao-hua, LI Ri-long. Adaptive Non-communication Protection for Transmission Lines Based on Artificial Neural Network[J]. 2004, (1): 16-18+21. DOI：

摘要

在传统电流保护和距离保护原理的基础上

提出一种基于神经网络的自适应无通道的输电线路继电保护方法。设计了故障检测与选相子网络和定位子网络

通过对 2个子网络输出的综合判断

能够在保护范围内的故障实现全线速动

保护区外保护不动作

Abstract

Based on the traditional current relay protection and distance relay protection

a new principle of transmission lines relay protection using the theory of artificial neural network is proposed in this paper. The new principle is implemented based on two sub-neural networks. One of the sub-neural networks is for the fault detection and fault phase determination. The other is for the fault location. The resultant action of the protection is determined by the comprehensive judgment of the two sub-networks outputs. If the fault happened in the area of protection

the protection was accelerated; if not

the protection was not acted.

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